Papers citing 'Importance Weighted Autoencoders'

Title
Reinterpreting Importance-Weighted Autoencoders Chris Cremer Q. Morris David Duvenaud BDL FAtt 191 95 0 10 Apr 2017
Learning Approximately Objective Priors Eric T. Nalisnick Padhraic Smyth 172 13 0 04 Apr 2017
Semi-Supervised Generation with Cluster-aware Generative Models Lars Maaløe Marco Fraccaro Ole Winther 220 28 0 03 Apr 2017
Sticking the Landing: Simple, Lower-Variance Gradient Estimators for Variational Inference Geoffrey Roeder Yuhuai Wu David Duvenaud BDL 409 212 0 27 Mar 2017
REBAR: Low-variance, unbiased gradient estimates for discrete latent variable models George Tucker A. Mnih Chris J. Maddison John Lawson Jascha Narain Sohl-Dickstein BDL 442 290 0 21 Mar 2017
Particle Value Functions Chris J. Maddison Dieterich Lawson George Tucker N. Heess Arnaud Doucet A. Mnih Yee Whye Teh 143 15 0 16 Mar 2017
Towards Deeper Understanding of Variational Autoencoding Models Shengjia Zhao Jiaming Song Stefano Ermon DRL 188 162 0 28 Feb 2017
Approximate Inference with Amortised MCMC Yingzhen Li Richard Turner Qiang Liu BDL 201 62 0 27 Feb 2017
Coarse Grained Exponential Variational Autoencoders Ke Sun Xiangliang Zhang DRL BDL 92 0 0 25 Feb 2017
On the Origin of Deep Learning Haohan Wang Bhiksha Raj MedIm 3DV VLM 314 234 0 24 Feb 2017
A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe V. Turchenko Eric Chalmers Artur Luczak SSL 97 82 0 18 Jan 2017
Image Generation and Editing with Variational Info Generative AdversarialNetworks Mahesh Gorijala Ambedkar Dukkipati GAN 115 15 0 17 Jan 2017
Deep Probabilistic ProgrammingInternational Conference on Learning Representations (ICLR), 2017 Dustin Tran Matthew D. Hoffman Rif A. Saurous E. Brevdo Kevin Patrick Murphy David M. Blei BDL 244 200 0 13 Jan 2017
An Architecture for Deep, Hierarchical Generative Models Philip Bachman AI4CE BDL 160 53 0 08 Dec 2016
Fast Adaptation in Generative Models with Generative Matching Networks Sergey Bartunov Dmitry P. Vetrov GAN 119 24 0 07 Dec 2016
Piecewise Latent Variables for Neural Variational Text Processing Iulian Serban Alexander Ororbia Joelle Pineau Aaron Courville DRL BDL 344 2 0 01 Dec 2016
Improving Variational Auto-Encoders using Householder Flow Jakub M. Tomczak Max Welling BDL DRL 305 184 0 29 Nov 2016
Robust Variational Inference Michael Figurnov Kirill Struminsky Dmitry Vetrov BDL DRL AAML 88 1 0 28 Nov 2016
Bottleneck Conditional Density Estimation Rui Shu Hung Bui Mohammad Ghavamzadeh BDL 171 24 0 25 Nov 2016
Adaptive Feature Abstraction for Translating Video to Text Yunchen Pu Martin Renqiang Min Zhe Gan Lawrence Carin 190 14 0 23 Nov 2016
Max-Margin Deep Generative Models for (Semi-)Supervised Learning Chongxuan Li Jun Zhu Bo Zhang AI4CE 187 43 0 22 Nov 2016
Deep Variational Inference Without Pixel-Wise Reconstruction Siddharth Agrawal Ambedkar Dukkipati DRL 3DV BDL 118 13 0 16 Nov 2016
PixelVAE: A Latent Variable Model for Natural Images Ishaan Gulrajani Kundan Kumar Faruk Ahmed Adrien Ali Taïga Francesco Visin David Vazquez Aaron Courville DRL SSL BDL 226 353 0 15 Nov 2016
On the Quantitative Analysis of Decoder-Based Generative Models Yuhuai Wu Yuri Burda Ruslan Salakhutdinov Roger C. Grosse GAN 281 224 0 14 Nov 2016
Variational Lossy Autoencoder Xi Chen Diederik P. Kingma Tim Salimans Yan Duan Prafulla Dhariwal John Schulman Ilya Sutskever Pieter Abbeel DRL SSL GAN 358 692 0 08 Nov 2016
Optimal Binary Autoencoding with Pairwise Correlations Akshay Balsubramani SSL 116 1 0 07 Nov 2016
Unrolled Generative Adversarial Networks Luke Metz Ben Poole David Pfau Jascha Narain Sohl-Dickstein GAN 416 1,053 0 07 Nov 2016
Joint Multimodal Learning with Deep Generative Models Masahiro Suzuki Kotaro Nakayama Y. Matsuo DRL GAN 222 242 0 07 Nov 2016
The Concrete Distribution: A Continuous Relaxation of Discrete Random Variables Chris J. Maddison A. Mnih Yee Whye Teh BDL 563 2,685 0 02 Nov 2016
Inference Compilation and Universal Probabilistic Programming T. Le A. G. Baydin Frank Wood UQCV 442 142 0 31 Oct 2016
Deep Variational Canonical Correlation Analysis Weiran Wang Xinchen Yan Honglak Lee Karen Livescu DRL BDL 237 151 0 11 Oct 2016
Select-Additive Learning: Improving Generalization in Multimodal Sentiment Analysis Haohan Wang Aaksha Meghawat Louis-Philippe Morency Eric Xing 178 169 0 16 Sep 2016
Discrete Variational Autoencoders J. Rolfe BDL DRL 421 276 0 07 Sep 2016
Unsupervised Learning of 3D Structure from ImagesNeural Information Processing Systems (NeurIPS), 2016 Danilo Jimenez Rezende S. M. Ali Eslami S. Mohamed Peter W. Battaglia Max Jaderberg N. Heess 3DV SSL DRL 209 406 0 03 Jul 2016
Improving Variational Inference with Inverse Autoregressive Flow Diederik P. Kingma Tim Salimans Rafal Jozefowicz Xi Chen Ilya Sutskever Max Welling BDL DRL 509 1,930 0 15 Jun 2016
Linear dynamical neural population models through nonlinear embeddings Yuanjun Gao Evan Archer Liam Paninski John P. Cunningham 182 163 0 26 May 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 807 4,080 0 26 May 2016
Stick-Breaking Variational Autoencoders Marco Cote Padhraic Smyth BDL DRL 301 172 0 20 May 2016
Neural Autoregressive Distribution Estimation Benigno Uria Marc-Alexandre Côté Karol Gregor Iain Murray Hugo Larochelle 359 335 0 07 May 2016
A Survey on Bayesian Deep Learning Hao Wang Dit-Yan Yeung BDL 364 49 0 06 Apr 2016
Composing graphical models with neural networks for structured representations and fast inference Matthew J. Johnson David Duvenaud Alexander B. Wiltschko S. R. Datta Ryan P. Adams BDL OCL 479 501 0 20 Mar 2016
Joint Stochastic Approximation learning of Helmholtz Machines Haotian Xu Zhijian Ou BDL 98 10 0 20 Mar 2016
One-Shot Generalization in Deep Generative Models Danilo Jimenez Rezende S. Mohamed Ivo Danihelka Karol Gregor Daan Wierstra BDL VLM DRL LRM 238 260 0 16 Mar 2016
Variational Autoencoders for Semi-supervised Text Classification Weidi Xu Haoze Sun C. Deng Y. Tan DRL 166 7 0 08 Mar 2016
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models Yangfeng Ji Gholamreza Haffari Jacob Eisenstein BDL 209 125 0 07 Mar 2016
Overdispersed Black-Box Variational Inference Francisco J. R. Ruiz Michalis K. Titsias David M. Blei 219 49 0 03 Mar 2016
Learning to Generate with Memory Chongxuan Li Jun Zhu Bo Zhang BDL 180 44 0 24 Feb 2016
Variational inference for Monte Carlo objectives A. Mnih Danilo Jimenez Rezende DRL BDL 312 296 0 22 Feb 2016
Auxiliary Deep Generative Models Lars Maaløe C. Sønderby Søren Kaae Sønderby Ole Winther DRL GAN 448 463 0 17 Feb 2016
Patterns of Scalable Bayesian Inference E. Angelino Matthew J. Johnson Ryan P. Adams 249 93 0 16 Feb 2016